Lotus Technology (LOT) Accumulated Expenses (2022 - 2026)
Lotus Technology's Accumulated Expenses was $215.52 million in the quarter ended Jun 30, 2026, down 33.2% from $322.41 million a year earlier.
Lotus Technology (LOT) Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Lotus Technology came in at $251.36 million, down 35.5% from the prior year.
- Accumulated Expenses shows a three-year compound annual growth rate of -8.0% (years ended Dec 2022 to Dec 2025).
- In earlier years, Accumulated Expenses was $389.79 million in the year ended Dec 31, 2024 (-7.1%), $419.42 million in the year ended Dec 31, 2023 (+29.7%) and $323.3 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Accumulated Expenses in data going back to the quarter ended Dec 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Lotus Technology | 545.78 Mn | 253.82 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 215.52 Mn |
| Dec 31, 2025 | 251.36 Mn |
| Sep 30, 2025 | 283.27 Mn |
| Jun 30, 2025 | 322.41 Mn |
| Mar 31, 2025 | 391.49 Mn |
| Dec 31, 2024 | 389.79 Mn |
| Sep 30, 2024 | 366.76 Mn |
| Jun 30, 2024 | 431.22 Mn |
| Mar 31, 2024 | 412.91 Mn |
| Dec 31, 2023 | 419.42 Mn |
| Dec 31, 2022 | 323.30 Mn |
Lotus Technology Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LOT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();